Declustering Spatial Databases on a Multi-Computer Architecture. - Nick Koudas; Christos Faloutsos; Ibrahim Kamel (EDBT, 1996)

Filter Trees for Managing Spatial Data over a Range of Size Granularities - Kenneth C. Sevcik; Nick Koudas (VLDB, 1996)

Size Separation Spatial Join. - Nick Koudas; Kenneth C. Sevcik (SIGMOD Conference, 1997)

Optimal Histograms with Quality Guarantees. - H. V. Jagadish; Nick Koudas; S. Muthukrishnan 001; Viswanath Poosala; Kenneth C. Sevcik; Torsten Suel (VLDB, 1998)

Fast algorithms for spatial and multidimensional joins. - Nick Koudas (1998)

Mining Deviants in a Time Series Database. - H. V. Jagadish; Nick Koudas; S. Muthukrishnan 001 (VLDB, 1999)

Space Efficient Bitmap Indexing. - Nick Koudas (CIKM, 2000)

Selectivity Estimation for Boolean Queries. - Zhiyuan Chen 003; Flip Korn; Nick Koudas; S. Muthukrishnan 001 (PODS, 2000)

Optimal Histograms for Hierarchical Range Queries. - Nick Koudas; S. Muthukrishnan 001; Divesh Srivastava (PODS, 2000)

On Effective Multi-Dimensional Indexing for Strings. - H. V. Jagadish; Nick Koudas; Divesh Srivastava (SIGMOD Conference, 2000)

Identifying Representative Trends in Massive Time Series Data Sets Using Sketches. - Piotr Indyk; Nick Koudas; S. Muthukrishnan 001 (VLDB, 2000)

Indexing support for spatial joins. - Nick Koudas (Data Knowl. Eng., 2000)

High Dimensional Similarity Joins: Algorithms and Performance Evaluation. - Nick Koudas; Kenneth C. Sevcik (IEEE Trans. Knowl. Data Eng., 2000)

Counting Twig Matches in a Tree. - Zhiyuan Chen 003; H. V. Jagadish; Flip Korn; Nick Koudas; S. Muthukrishnan 001; Raymond T. Ng; Divesh Srivastava (ICDE, 2001)

An Efficient Approximation Scheme for Data Mining Tasks. - George Kollios; Dimitrios Gunopulos; Nick Koudas; Stefan Berchtold (ICDE, 2001)

Efficient and Tunable Similar Set Retrieval. - Aristides Gionis; Dimitrios Gunopulos; Nick Koudas (SIGMOD Conference, 2001)

PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries. - Vagelis Hristidis; Nick Koudas; Yannis Papakonstantinou (SIGMOD Conference, 2001)

Entropy Based Approximate Querying and Exploration of Datacubes. - Themistoklis Palpanas; Nick Koudas (SSDBM, 2001)

Data-streams and histograms. - Sudipto Guha; Nick Koudas; Kyuseok Shim (STOC, 2001)

Approximate String Joins in a Database (Almost) for Free. - Luis Gravano; Panagiotis G. Ipeirotis; H. V. Jagadish; Nick Koudas; S. Muthukrishnan 001; Divesh Srivastava (VLDB, 2001)

Using q-grams in a DBMS for Approximate String Processing. - Luis Gravano; Panagiotis G. Ipeirotis; H. V. Jagadish; Nick Koudas; S. Muthukrishnan 001; Lauri Pietarinen; Divesh Srivastava (IEEE Data Eng. Bull., 2001)

DIMACS Summer School Tutorial on New Frontiers in Data Mining. - Dimitrios Gunopulos; Nick Koudas (SIGMOD Rec., 2001)

Reminiscences on Influential Papers. - Kenneth A. Ross; Jiawei Han 001; Nick Koudas; Rajeev Rastogi; Daniel J. Rosenkrantz; Peter Scheuermann; Dan Suciu (SIGMOD Rec., 2001)

Structural Joins: A Primitive for Efficient XML Query Pattern Matching. - Shurug Al-Khalifa; H. V. Jagadish; Jignesh M. Patel; Yuqing Wu; Nick Koudas; Divesh Srivastava (ICDE, 2002)

Fast Mining of Massive Tabular Data via Approximate Distance Computations. - Graham Cormode; Piotr Indyk; Nick Koudas; S. Muthukrishnan 001 (ICDE, 2002)

Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation. - Sudipto Guha; Nick Koudas (ICDE, 2002)

Stream Data Management: Research Directions and Opportunities. - Nick Koudas (IDEAS, 2002)

Non-linear dimensionality reduction techniques for classification and visualization. - Michail Vlachos; Carlotta Domeniconi; Dimitrios Gunopulos; George Kollios; Nick Koudas (KDD, 2002)

Fast Algorithms For Hierarchical Range Histogram Construction. - Sudipto Guha; Nick Koudas; Divesh Srivastava (PODS, 2002)

Holistic twig joins: optimal XML pattern matching. - Nicolas Bruno; Nick Koudas; Divesh Srivastava (SIGMOD Conference, 2002)

Approximate XML joins. - Sudipto Guha; H. V. Jagadish; Nick Koudas; Divesh Srivastava; Ting Yu 001 (SIGMOD Conference, 2002)

Dynamic multidimensional histograms. - Nitin Thaper; Sudipto Guha; Piotr Indyk; Nick Koudas (SIGMOD Conference, 2002)

Efficient computation of spatial joins with intersection predicates. - Nick Koudas (Int. J. Geogr. Inf. Sci., 2002)

Approximate Matching in XML. - Sihem Amer-Yahia; Nick Koudas; Divesh Srivastava (ICDE, 2003)

Navigation- vs. Index-Based XML Multi-Query Processing. - Nicolas Bruno; Luis Gravano; Nick Koudas; Divesh Srivastava (ICDE, 2003)

Text Joins for Data Cleansing and Integration in an RDBMS. - Luis Gravano; Panagiotis G. Ipeirotis; Nick Koudas; Divesh Srivastava (ICDE, 2003)

Index-Based Approximate XML Joins. - Sudipto Guha; Nick Koudas; Divesh Srivastava; Ting Yu 001 (ICDE, 2003)

Ranked Join Indices. - Panayiotis Tsaparas; Themistoklis Palpanas; Yannis Kotidis; Nick Koudas; Divesh Srivastava (ICDE, 2003)

Correlating synchronous and asynchronous data streams. - Sudipto Guha; Dimitrios Gunopulos; Nick Koudas (KDD, 2003)

Panel: Querying Networked Databases. - Nick Koudas; Divesh Srivastava (SIGMOD Conference, 2003)

Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. - Themistoklis Palpanas; Nick Koudas; Alberto O. Mendelzon (SSDBM, 2003)

A System for Keyword Proximity Search on XML Databases. - Andrey Balmin; Vagelis Hristidis; Nick Koudas; Yannis Papakonstantinou; Divesh Srivastava; Tianqiu Wang (VLDB, 2003)

Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. - Sudipto Guha; Dimitrios Gunopulos; Nick Koudas; Divesh Srivastava; Michail Vlachos (VLDB, 2003)

Data Stream Query Processing: A Tutorial. - Nick Koudas; Divesh Srivastava (VLDB, 2003)

Text joins in an RDBMS for web data integration. - Luis Gravano; Panagiotis G. Ipeirotis; Nick Koudas; Divesh Srivastava (WWW, 2003)

Generalized substring selectivity estimation. - Zhiyuan Chen 003; Flip Korn; Nick Koudas; S. Muthukrishnan 001 (J. Comput. Syst. Sci., 2003)

Two-dimensional substring indexing. - Paolo Ferragina; Nick Koudas; S. Muthukrishnan 001; Divesh Srivastava (J. Comput. Syst. Sci., 2003)

Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets. - George Kollios; Dimitrios Gunopulos; Nick Koudas; Stefan Berchtold (IEEE Trans. Knowl. Data Eng., 2003)

NNH: Improving Performance of Nearest-Neighbor Searches Using Histograms. - Liang Jin; Nick Koudas; Chen Li 001 (EDBT, 2004)

LDC: Enabling Search By Partial Distance In A Hyper-Dimensional Space. - Nick Koudas; Beng Chin Ooi; Heng Tao Shen; Anthony K. H. Tung (ICDE, 2004)

Routing XML Queries. - Nick Koudas; Michael Rabinovich; Divesh Srivastava; Ting Yu 001 (ICDE, 2004)

Merging the Results of Approximate Match Operations. - Sudipto Guha; Nick Koudas; Amit Marathe; Divesh Srivastava (VLDB, 2004)

Flexible String Matching Against Large Databases in Practice. - Nick Koudas; Amit Marathe; Divesh Srivastava (VLDB, 2004)

Approximate NN queries on Streams with Guaranteed Error/performance Bounds. - Nick Koudas; Beng Chin Ooi; Kian-Lee Tan; Rui Zhang 003 (VLDB, 2004)

Introduction to special issue with best papers from KDD 2002. - Daniel A. Keim; Nick Koudas (Inf. Syst., 2004)

The threshold join algorithm for top-k queries in distributed sensor networks. - Demetrios Zeinalipour-Yazti; Zografoula Vagena; Dimitrios Gunopulos; Vana Kalogeraki; Vassilis J. Tsotras; Michail Vlachos; Nick Koudas; Divesh Srivastava (DMSN, 2005)

Data Stream Query Processing. - Nick Koudas; Divesh Srivastava (ICDE, 2005)

Adaptive Processing of Top-K Queries in XML. - Amélie Marian; Sihem Amer-Yahia; Nick Koudas; Divesh Srivastava (ICDE, 2005)

Monitoring K-Nearest Neighbor Queries Over Moving Objects. - Xiaohui Yu 001; Ken Q. Pu; Nick Koudas (ICDE, 2005)

SPIDER: flexible matching in databases. - Nick Koudas; Amit Marathe; Divesh Srivastava (SIGMOD Conference, 2005)

Multiple Aggregations Over Data Streams. - Rui Zhang 003; Nick Koudas; Beng Chin Ooi; Divesh Srivastava (SIGMOD Conference, 2005)

Structure and Content Scoring for XML. - Sihem Amer-Yahia; Nick Koudas; Amélie Marian; Divesh Srivastava; David Toman 001 (VLDB, 2005)

MIX: A Meta-data Indexing System for XML. - SungRan Cho; Nick Koudas; Divesh Srivastava (VLDB, 2005)

Indexing Mixed Types for Approximate Retrieval. - Liang Jin; Nick Koudas; Chen Li 001; Anthony K. H. Tung (VLDB, 2005)

Approximate Joins: Concepts and Techniques. - Nick Koudas; Divesh Srivastava (VLDB, 2005)

Answering order-based queries over XML data. - Zografoula Vagena; Nick Koudas; Divesh Srivastava; Vassilis J. Tsotras (WWW (Special interest tracks and posters), 2005)

Efficient Handling of Positional Predicates Within XML Query Processing. - Zografoula Vagena; Nick Koudas; Divesh Srivastava; Vassilis J. Tsotras (XSym, 2005)

Using Datacube Aggregates for Approximate Querying and Deviation Detection. - Themis Palpanas; Nick Koudas; Alberto O. Mendelzon (IEEE Trans. Knowl. Data Eng., 2005)

XML & Data Streams. - Nicolas Bruno; Luis Gravano; Nick Koudas; Divesh Srivastava (Stream Data Management, 2005)

Column Heterogeneity as a Measure of Data Quality. - Bing Tian Dai; Nick Koudas; Beng Chin Ooi; Divesh Srivastava; Suresh Venkatasubramanian (CleanDB, 2006)

HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates. - Xiaohui Yu 001; Nick Koudas; Calisto Zuzarte (EDBT, 2006)

Reasoning About Approximate Match Query Results. - Sudipto Guha; Nick Koudas; Divesh Srivastava; Xiaohui Yu 001 (ICDE, 2006)

Syntactic Rule Based Approach toWeb Service Composition. - Ken Q. Pu; Vagelis Hristidis; Nick Koudas (ICDE, 2006)

Rapid Identification of Column Heterogeneity. - Bing Tian Dai; Nick Koudas; Beng Chin Ooi; Divesh Srivastava; Suresh Venkatasubramanian (ICDM, 2006)

Data Stream Query Processing. - Nick Koudas (SBBD, 2006)

Meta-data indexing for XPath location steps. - SungRan Cho; Nick Koudas; Divesh Srivastava (SIGMOD Conference, 2006)

Using SPIDER: an experience report. - Nick Koudas; Amit Marathe; Divesh Srivastava (SIGMOD Conference, 2006)

Record linkage: similarity measures and algorithms. - Nick Koudas; Sunita Sarawagi; Divesh Srivastava (SIGMOD Conference, 2006)

Answering Top-k Queries Using Views. - Gautam Das 001; Dimitrios Gunopulos; Nick Koudas; Dimitris Tsirogiannis (VLDB, 2006)

Relaxing Join and Selection Queries. - Nick Koudas; Chen Li 001; Anthony K. H. Tung; Rares Vernica (VLDB, 2006)

Similarity Search: A Matching Based Approach. - Anthony K. H. Tung; Rui Zhang 003; Nick Koudas; Beng Chin Ooi (VLDB, 2006)

Letter from the Special Issue Editor. - Nick Koudas (IEEE Data Eng. Bull., 2006)

Keyword Proximity Search in XML Trees. - Vagelis Hristidis; Nick Koudas; Yannis Papakonstantinou; Divesh Srivastava (IEEE Trans. Knowl. Data Eng., 2006)

Integrating XML data sources using approximate joins. - Sudipto Guha; H. V. Jagadish; Nick Koudas; Divesh Srivastava; Ting Yu 001 (ACM Trans. Database Syst., 2006)

Approximation and streaming algorithms for histogram construction problems. - Sudipto Guha; Nick Koudas; Kyuseok Shim (ACM Trans. Database Syst., 2006)

Fast Identification of Relational Constraint Violations. - Amit Chandel; Nick Koudas; Ken Q. Pu; Divesh Srivastava (ICDE, 2007)

Propagating Updates in SPIDER. - Nick Koudas; Amit Marathe; Divesh Srivastava (ICDE, 2007)

A Lightweight Online Framework For Query Progress Indicators. - Chaitanya Mishra; Nick Koudas (ICDE, 2007)

Group Linkage. - Byung-Won On; Nick Koudas; Dongwon Lee 001; Divesh Srivastava (ICDE, 2007)

Finding Skyline and Top-k Bargaining Solutions. - Mohamed A. Soliman; Ihab F. Ilyas; Nick Koudas (ICDE, 2007)

Aggregate Query Answering on Anonymized Tables. - Qing Zhang 014; Nick Koudas; Divesh Srivastava; Ting Yu 001 (ICDE, 2007)

Benchmarking declarative approximate selection predicates. - Amit Chandel; Oktie Hassanzadeh; Nick Koudas; Mohammad Sadoghi; Divesh Srivastava (SIGMOD Conference, 2007)

Anytime Measures for Top-k Algorithms. - Benjamin Arai; Gautam Das 001; Dimitrios Gunopulos; Nick Koudas (VLDB, 2007)

Seeking Stable Clusters in the Blogosphere. - Nilesh Bansal; Fei Chiang; Nick Koudas; Frank Wm. Tompa (VLDB, 2007)

BlogScope: A System for Online Analysis of High Volume Text Streams. - Nilesh Bansal; Nick Koudas (VLDB, 2007)

Ad-hoc Top-k Query Answering for Data Streams. - Gautam Das 001; Dimitrios Gunopulos; Nick Koudas; Nikos Sarkas (VLDB, 2007)

Searching the Blogosphere. - Nilesh Bansal; Nick Koudas (WebDB, 2007)

BlogScope: spatio-temporal analysis of the blogosphere. - Nilesh Bansal; Nick Koudas (WWW, 2007)

Index structures for matching XML twigs using relational query processors. - Zhiyuan Chen 003; Johannes Gehrke; Flip Korn; Nick Koudas; Jayavel Shanmugasundaram; Divesh Srivastava (Data Knowl. Eng., 2007)

Editorial: Revisiting the (Machine) Semantic Web: The Missing Layers for the Human Semantic Web. - Gottfried Vossen; Miltiadis D. Lytras; Nick Koudas (IEEE Trans. Knowl. Data Eng., 2007)

Estimating the selectivity of approximate string queries. - Arturas Mazeika; Michael H. Böhlen; Nick Koudas; Divesh Srivastava (ACM Trans. Database Syst., 2007)

Efficient sampling of information in social networks. - Gautam Das 001; Nick Koudas; Manos Papagelis; Sushruth Puttaswamy (SSM, 2008)

Optimizing away joins on data streams. - Lukasz Golab; Theodore Johnson; Nick Koudas; Divesh Srivastava; David Toman 001 (SSPS, 2008)

Validating Multi-column Schema Matchings by Type. - Bing Tian Dai; Nick Koudas; Divesh Srivastava; Anthony K. H. Tung; Suresh Venkatasubramanian (ICDE, 2008)

Fast Indexes and Algorithms for Set Similarity Selection Queries. - Marios Hadjieleftheriou; Amit Chandel; Nick Koudas; Divesh Srivastava (ICDE, 2008)

Ad-hoc aggregations of ranked lists in the presence of hierarchies. - Nilesh Bansal; Sudipto Guha; Nick Koudas (SIGMOD Conference, 2008)

Stretch 'n' shrink: resizing queries to user preferences. - Chaitanya Mishra; Nick Koudas (SIGMOD Conference, 2008)

Generating targeted queries for database testing. - Chaitanya Mishra; Nick Koudas; Calisto Zuzarte (SIGMOD Conference, 2008)

Categorical skylines for streaming data. - Nikos Sarkas; Gautam Das 001; Nick Koudas; Anthony K. H. Tung (SIGMOD Conference, 2008)

Adventures in the Blogosphere. - Nick Koudas (SSDBM, 2008)

On space constrained set selection problems. - Themis Palpanas; Nick Koudas; Alberto O. Mendelzon (Data Knowl. Eng., 2008)

Hashed samples: selectivity estimators for set similarity selection queries. - Marios Hadjieleftheriou; Xiaohui Yu 001; Nick Koudas; Divesh Srivastava (Proc. VLDB Endow., 2008)

Ranking objects based on relationships and fixed associations. - Albert Angel; Surajit Chaudhuri; Gautam Das 001; Nick Koudas (EDBT, 2009)

Efficient identification of starters and followers in social media. - Michael Mathioudakis; Nick Koudas (EDBT, 2009)

Interactive query refinement. - Chaitanya Mishra; Nick Koudas (EDBT, 2009)

Metric Functional Dependencies. - Nick Koudas; Avishek Saha; Divesh Srivastava; Suresh Venkatasubramanian (ICDE, 2009)

Join Reordering by Join Simulation. - Chaitanya Mishra; Nick Koudas (ICDE, 2009)

Information Cascades in the Blogosphere: A Look Behind the Curtain. - Manos Papagelis; Nilesh Bansal; Nick Koudas (ICWSM, 2009)

What's on the grapevine? - Albert Angel; Nick Koudas; Nikos Sarkas; Divesh Srivastava (SIGMOD Conference, 2009)

Incremental maintenance of length normalized indexes for approximate string matching. - Marios Hadjieleftheriou; Nick Koudas; Divesh Srivastava (SIGMOD Conference, 2009)

Query by document. - Yin Yang 001; Nilesh Bansal; Wisam Dakka; Panagiotis G. Ipeirotis; Nick Koudas; Dimitris Papadias (WSDM, 2009)

Finding the K highest-ranked answers in a distributed network. - Demetrios Zeinalipour-Yazti; Zografoula Vagena; Vana Kalogeraki; Dimitrios Gunopulos; Vassilis J. Tsotras; Michail Vlachos; Nick Koudas; Divesh Srivastava (Comput. Networks, 2009)

Distribution-based Microdata Anonymization. - Nick Koudas; Divesh Srivastava; Ting Yu 001; Qing Zhang 014 (Proc. VLDB Endow., 2009)

Measure-driven Keyword-Query Expansion. - Nikos Sarkas; Nilesh Bansal; Gautam Das 001; Nick Koudas (Proc. VLDB Endow., 2009)

Improved Search for Socially Annotated Data. - Nikos Sarkas; Gautam Das 001; Nick Koudas (Proc. VLDB Endow., 2009)

Improving the Performance of List Intersection. - Dimitris Tsirogiannis; Sudipto Guha; Nick Koudas (Proc. VLDB Endow., 2009)

Optimization Techniques for Reactive Network Monitoring. - Ahmet Bulut; Nick Koudas; Anand Meka; Ambuj K. Singh; Divesh Srivastava (IEEE Trans. Knowl. Data Eng., 2009)

The design of a query monitoring system. - Chaitanya Mishra; Nick Koudas (ACM Trans. Database Syst., 2009)

Anytime measures for top-k algorithms on exact and fuzzy data sets. - Benjamin Arai; Gautam Das 001; Dimitrios Gunopulos; Nick Koudas (VLDB J., 2009)

Suffix tree construction algorithms on modern hardware. - Dimitris Tsirogiannis; Nick Koudas (EDBT, 2010)

Efficient identification of coupled entities in document collections. - Nikos Sarkas; Albert Angel; Nick Koudas; Divesh Srivastava (ICDE, 2010)

Crowds, clouds, and algorithms: exploring the human side of "big data" applications. - Sihem Amer-Yahia; AnHai Doan; Jon M. Kleinberg; Nick Koudas; Michael J. Franklin (SIGMOD Conference, 2010)

TwitterMonitor: trend detection over the twitter stream. - Michael Mathioudakis; Nick Koudas (SIGMOD Conference, 2010)

Early online identification of attention gathering items in social media. - Michael Mathioudakis; Nick Koudas; Peter Marbach (WSDM, 2010)

An Access Cost-Aware Approach for Object Retrieval over Multiple Sources. - Benjamin Arai; Gautam Das 001; Dimitrios Gunopulos; Vagelis Hristidis; Nick Koudas (Proc. VLDB Endow., 2010)

Identifying, Attributing and Describing Spatial Bursts. - Michael Mathioudakis; Nilesh Bansal; Nick Koudas (Proc. VLDB Endow., 2010)

MRShare: Sharing Across Multiple Queries in MapReduce. - Tomasz Nykiel; Michalis Potamias; Chaitanya Mishra; George Kollios; Nick Koudas (Proc. VLDB Endow., 2010)

Transparent anonymization: Thwarting adversaries who know the algorithm. - Xiaokui Xiao; Yufei Tao 001; Nick Koudas (ACM Trans. Database Syst., 2010)

Streaming multiple aggregations using phantoms. - Rui Zhang 003; Nick Koudas; Beng Chin Ooi; Divesh Srivastava; Pu Zhou (VLDB J., 2010)

Efficient diversity-aware search. - Albert Angel; Nick Koudas (SIGMOD Conference, 2011)

Letter from the Research Track Co-Chair. - Nick Koudas (Proc. VLDB Endow., 2011)

Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification. - Albert Angel; Nick Koudas; Nikos Sarkas; Divesh Srivastava (Proc. VLDB Endow., 2012)

Pollux: towards scalable distributed real-time search on microblogs. - Liwei Lin; Xiaohui Yu 001; Nick Koudas (EDBT, 2013)

Information cascade at group scale. - Milad Eftekhar; Yashar Ganjali; Nick Koudas (KDD, 2013)

Peckalytics: analyzing experts and interests on Twitter. - Alex Cheng; Nilesh Bansal; Nick Koudas (SIGMOD Conference, 2013)

Bursty subgraphs in social networks. - Milad Eftekhar; Nick Koudas; Yashar Ganjali (WSDM, 2013)

Some Research Opportunities on Twitter Advertising. - Milad Eftekhar; Nick Koudas (IEEE Data Eng. Bull., 2013)

Partitioning and Ranking Tagged Data Sources. - Milad Eftekhar; Nick Koudas (Proc. VLDB Endow., 2013)

Sampling Online Social Networks. - Manos Papagelis; Gautam Das 001; Nick Koudas (IEEE Trans. Knowl. Data Eng., 2013)

Price trade-offs in social media advertising. - Milad Eftekhar; Saravanan Thirumuruganathan; Gautam Das 001; Nick Koudas (COSN, 2014)

SerpentTI: flexible analytics of users, boards and domains for pinterest. - Alex Cheng; Mary Malit; Chuanxi Zhang; Nick Koudas (SIGMOD Conference, 2014)

Sharing across Multiple MapReduce Jobs. - Tomasz Nykiel; Michalis Potamias; Chaitanya Mishra; George Kollios; Nick Koudas (ACM Trans. Database Syst., 2014)

Dense subgraph maintenance under streaming edge weight updates for real-time story identification. - Albert Angel; Nick Koudas; Nikos Sarkas; Divesh Srivastava; Michael Svendsen; Srikanta Tirthapura (VLDB J., 2014)

Parallel in-memory trajectory-based spatiotemporal topological join. - Suprio Ray; Angela Demke Brown; Nick Koudas; Rolando Blanco; Anil K. Goel (IEEE BigData, 2015)

Reaching a desired set of users via different paths: an online advertising technique on micro-blogging platforms. - Milad Eftekhar; Nick Koudas; Yashar Ganjali (EDBT, 2015)

Processing Analytical Workloads Incrementally. - Priyank Gupta; Nick Koudas; Europa Shang; Ryan Johnson 001; Calisto Zuzarte (CoRR, 2015)

Efficient Computation of Subspace Skyline over Categorical Domains. - Md Farhadur Rahman; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (CIKM, 2017)

Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. - Abolfazl Asudeh; Azade Nazi; Nick Koudas; Gautam Das 001 (CoRR, 2017)

Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. - Sona Hasani; Saravanan Thirumuruganathan; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2018)

Nonlinear Models Over Normalized Data. - Zhaoyue Cheng; Nick Koudas (ICDE, 2019)

An Improved Dynamic Vertical Partitioning Technique for Semi-Structured Data. - Sahel Sharify; Alan W. Lu; Jin Chen 006; Arnamoy Bhattacharyya; Ali B. Hashemi; Nick Koudas; Cristiana Amza (ISPASS, 2019)

Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. - Abolfazl Asudeh; Azade Nazi; Nick Koudas; Gautam Das 001 (PAKDD (3), 2019)

Interpreting deep learning models for entity resolution: an experience report using LIME. - Vincenzo Di Cicco; Donatella Firmani; Nick Koudas; Paolo Merialdo; Divesh Srivastava (aiDM@SIGMOD, 2019)

Top-k Queries over Digital Traces. - Yifan Li 006; Xiaohui Yu 001; Nick Koudas (SIGMOD Conference, 2019)

SVQ: Streaming Video Queries. - Ioannis Xarchakos; Nick Koudas (SIGMOD Conference, 2019)

Multi-Attribute Selectivity Estimation Using Deep Learning. - Shohedul Hasan; Saravanan Thirumuruganathan; Jees Augustine; Nick Koudas; Gautam Das 001 (CoRR, 2019)

Approximate Query Processing using Deep Generative Models. - Saravanan Thirumuruganathan; Shohedul Hasan; Nick Koudas; Gautam Das 001 (CoRR, 2019)

ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. - Sona Hasani; Faezeh Ghaderi; Shohedul Hasan; Saravanan Thirumuruganathan; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2019)

Approximate Query Processing for Data Exploration using Deep Generative Models. - Saravanan Thirumuruganathan; Shohedul Hasan; Nick Koudas; Gautam Das 001 (ICDE, 2020)

SVQ++: Querying for Object Interactions in Video Streams. - Daren Chao; Nick Koudas; Ioannis Xarchakos (SIGMOD Conference, 2020)

TQVS: Temporal Queries over Video Streams in Action. - Yueting Chen; Xiaohui Yu 001; Nick Koudas (SIGMOD Conference, 2020)

Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. - Shohedul Hasan; Saravanan Thirumuruganathan; Jees Augustine; Nick Koudas; Gautam Das 001 (SIGMOD Conference, 2020)

Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. - Ziqiang Yu; Xiaohui Yu 001; Nick Koudas; Yang Liu 008; Yifan Li 006; Yueting Chen; Dingyu Yang (SIGMOD Conference, 2020)

Evaluating Temporal Queries Over Video Feeds. - Yueting Chen; Xiaohui Yu 001; Nick Koudas (CoRR, 2020)

Efficient Construction of Nonlinear Models overNormalized Data. - Zhaoyue Chen; Nick Koudas; Zhe Zhang; Xiaohui Yu 001 (CoRR, 2020)

Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. - Suraj Shetiya; Saravanan Thirumuruganathan; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2020)

Efficient Construction of Nonlinear Models over Normalized Data. - Zhaoyue Cheng; Nick Koudas; Zhe Zhang; Xiaohui Yu 001 (ICDE, 2021)

Querying for Interactions. - Yannis Xarchakos; Nick Koudas (ICDE, 2021)

Evaluating Temporal Queries Over Video Feeds. - Yueting Chen; Xiaohui Yu 001; Nick Koudas; Ziqiang Yu (SIGMOD Conference, 2021)

Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. - Sona Hasani; Saravanan Thirumuruganathan; Nick Koudas; Gautam Das 001 (SIGMOD Conference, 2021)

LES3: Learning-based exact set similarity search. - Yifan Li 006; Xiaohui Yu 001; Nick Koudas (Proc. VLDB Endow., 2021)

Data Acquisition for Improving Machine Learning Models. - Yifan Li 006; Xiaohui Yu 001; Nick Koudas (Proc. VLDB Endow., 2021)

Ranked Window Query Retrieval over Video Repositories. - Yueting Chen; Xiaohui Yu 001; Nick Koudas (ICDE, 2022)

Effective Explanations for Entity Resolution Models. - Tommaso Teofili; Donatella Firmani; Nick Koudas; Vincenzo Martello; Paolo Merialdo; Divesh Srivastava (ICDE, 2022)

Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. - Saravanan Thirumuruganathan; Suraj Shetiya; Nick Koudas; Gautam Das 001 (ICDE, 2022)

FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. - Naiqing Guan; Nick Koudas (SIGMOD Conference, 2022)

Spatial and Temporal Constrained Ranked Retrieval over Videos. - Yueting Chen; Nick Koudas; Xiaohui Yu 001; Ziqiang Yu (Proc. VLDB Endow., 2022)

CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. - Tommaso Teofili; Donatella Firmani; Nick Koudas; Paolo Merialdo; Divesh Srivastava (Proc. VLDB Endow., 2022)

Video Monitoring Queries. - Nick Koudas; Raymond Li; Ioannis Xarchakos (IEEE Trans. Knowl. Data Eng., 2022)

Track Merging for Effective Video Query Processing. - Daren Chao; Yueting Chen; Nick Koudas; Xiaohui Yu 001 (ICDE, 2023)

SVQ-ACT: Querying for Actions over Videos. - Daren Chao; Kaiwen Chen; Nick Koudas (ICDE, 2023)

Marshalling Model Inference in Video Streams. - Daren Chao; Nick Koudas; Xiaohui Yu 001 (ICDE, 2023)

Can Large Language Models Design Accurate Label Functions? - Naiqing Guan; Kaiwen Chen; Nick Koudas (CoRR, 2023)

dbET: Execution Time Distribution-based Plan Selection. - Yifan Li 006; Xiaohui Yu 001; Nick Koudas; Shu Lin; Calvin Sun; Chong Chen (Proc. ACM Manag. Data, 2023)

Querying for Interactions. - Ioannis Xarchakos; Nick Koudas (IEEE Trans. Knowl. Data Eng., 2023)

Querying For Actions Over Videos. - Daren Chao; Nick Koudas (EDBT, 2024)

ActiveDP: Bridging Active Learning and Data Programming. - Naiqing Guan; Nick Koudas (EDBT, 2024)

Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (ICKG, 2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (CoRR, 2024)

Data Acquisition for Improving Model Confidence. - Yifan Li 006; Xiaohui Yu 001; Nick Koudas (Proc. ACM Manag. Data, 2024)

Unstructured Data Fusion for Schema and Data Extraction. - Kaiwen Chen; Nick Koudas (Proc. ACM Manag. Data, 2024)

Optimizing Video Queries with Declarative Clues. - Daren Chao; Yueting Chen; Nick Koudas; Xiaohui Yu 001 (Proc. VLDB Endow., 2024)

A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks. - Ziqiang Yu; Xiaohui Yu 001; Nick Koudas; Yueting Chen; Yang Liu 008 (IEEE Trans. Knowl. Data Eng., 2024)

WeShap: Weak Supervision Source Evaluation with Shapley Values. - Naiqing Guan; Nick Koudas (Proc. VLDB Endow., 2024)

Pythia: A Neural Model for Data Prefetching. - Akshay A. Bapat; Saravanan Thirumuruganathan; Nick Koudas (EDBT, 2025)

Ensembling Object Detectors for Effective Video Query Processing. - Daren Chao; Nick Koudas; Xiaohui Yu 001; Yueting Chen (EDBT, 2025)

DataSculpt: Cost-Efficient Label Function Design via Prompting Large Language Models. - Naiqing Guan; Kaiwen Chen; Nick Koudas (EDBT, 2025)

Coping With Data Drift in Online Video Analytics. - Ioannis Xarchakos; Nick Koudas (EDBT, 2025)

RTS+: Reliable Text to SQL. - Kaiwen Chen; Yueting Chen; Nick Koudas; Xiaohui Yu 001 (SIGMOD Conference Companion, 2025)

Reliable Text-to-SQL with Adaptive Abstention. - Kaiwen Chen; Yueting Chen; Nick Koudas; Xiaohui Yu 001 (Proc. ACM Manag. Data, 2025)